Fall reading: 10 expert takes on AI's shift from rollout to risk management

How AI is changing the breadth of cybersecurity roles
Dave McGinnis, a vice president and senior partner for global cyber threat management at IBM, takes a look at how AI is transforming cybersecurity teams to operate less like maintenance crews and more like structural engineers.

The new rules of data governance in the age of agentic AI
As AI becomes more prevalent throughout organizations, governance is becoming foundational to ensuring its trustworthiness, according to Erin Hamm, chief data officer at security and compliance platform provider DataBee.

The hidden risk in scaling AI: Decision drift
As AI scales, companies need to establish confidence thresholds, a numeric value that determines when a system can execute on a recommendation automatically and when a human should get involved. Thresholds that get recalibrated as business conditions shift is are an example of "AI governance in motion," , writes Meenal Iyer, senior vice president of data and enterprise AI at SurveyMonkey.

Why AI automation fails without process intelligence
AI doesn't automate the process you want to have; it automates the process you have right now, writes Anjali Garg, a senior operations intelligence lead at Walmart. Without fulling understanding company processes, the more hidden parts of decision-making could fall through the cracks of automation cracks, opening a company up to risk.

How ecosystem partnerships accelerate enterprise AI scale
Julie Teigland, global vice chair for alliances and ecosystems at EY, outlines four priorities that can help companies can shift from an AI pilot into enterprise-wide deployment.

Enterprise AI agents require monitoring and oversight
AI agents working autonomously across regulated industries can raise questions about compliance and potential performance issues if left unmonitored, writes Paul Curtis, CTO and e-commerce director at easyJet, a low-cost European airline.

AI's real power: Transforming workflows, not just tasks
Think beyond making individual tasks more efficient with AI, advises Matt Lyteson, CIO for technology platforms at IBM. AI's true value is in enabling organization-wide exchange, intelligence and analysis.

How AI agents broke traditional SaaS pricing
AI agents are the fastest-growing user group in most environments — and that's affecting SaaS pricing, writes Alex Bovee, CEO and co-founder at identity security and governance platform provider C1.

LLMs hit security plateau: Why AI code can't be trusted yet
Large language models are now firmly embedded in software development — but companies must still verify their output before deployment, advises Jens Wessling, CTO at Veracode, an application security company.

How to scale agentic AI adoption: A 4-stage learning model
Dan Mitchell, senior vice president of platform strategy at Digital Wave Technology, advises companies to think of agentic AI adoption as a curriculum to follow, rather than a switch to flip.